Correlation Between Chung Hsin and Kaori Heat
Can any of the company-specific risk be diversified away by investing in both Chung Hsin and Kaori Heat at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Chung Hsin and Kaori Heat into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chung Hsin Electric Machinery and Kaori Heat Treatment, you can compare the effects of market volatilities on Chung Hsin and Kaori Heat and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Chung Hsin with a short position of Kaori Heat. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chung Hsin and Kaori Heat.
Diversification Opportunities for Chung Hsin and Kaori Heat
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Chung and Kaori is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Chung Hsin Electric Machinery and Kaori Heat Treatment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kaori Heat Treatment and Chung Hsin is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Chung Hsin Electric Machinery are associated (or correlated) with Kaori Heat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kaori Heat Treatment has no effect on the direction of Chung Hsin i.e., Chung Hsin and Kaori Heat go up and down completely randomly.
Pair Corralation between Chung Hsin and Kaori Heat
Assuming the 90 days trading horizon Chung Hsin Electric Machinery is expected to under-perform the Kaori Heat. But the stock apears to be less risky and, when comparing its historical volatility, Chung Hsin Electric Machinery is 2.13 times less risky than Kaori Heat. The stock trades about -0.04 of its potential returns per unit of risk. The Kaori Heat Treatment is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 30,950 in Kaori Heat Treatment on September 4, 2024 and sell it today you would earn a total of 4,350 from holding Kaori Heat Treatment or generate 14.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Chung Hsin Electric Machinery vs. Kaori Heat Treatment
Performance |
Timeline |
Chung Hsin Electric |
Kaori Heat Treatment |
Chung Hsin and Kaori Heat Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chung Hsin and Kaori Heat
The main advantage of trading using opposite Chung Hsin and Kaori Heat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chung Hsin position performs unexpectedly, Kaori Heat can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Kaori Heat will offset losses from the drop in Kaori Heat's long position.Chung Hsin vs. TECO Electric Machinery | Chung Hsin vs. Fortune Electric Co | Chung Hsin vs. Taiwan Cement Corp | Chung Hsin vs. Walsin Lihwa Corp |
Kaori Heat vs. Chung Hsin Electric Machinery | Kaori Heat vs. TECO Electric Machinery | Kaori Heat vs. Allis Electric Co | Kaori Heat vs. BenQ Materials Corp |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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